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Updated: May 9, 2026
08:08
Quantitative Mass Spectrometric Profiling of Cancer-cell Proteomes Derived From Liquid and Solid Tumors
Published on: February 27, 2015
Breast cancer classification by proteomic technologies: current state of knowledge
S W Lam1, C R Jimenez, E Boven
1Department of Medical Oncology, VU University Medical Center, De Boelelaan 1117, 1081HV, Amsterdam, The Netherlands.
Cancer Treatment Reviews
|July 30, 2013
Summary
Proteomics offers a powerful approach to understand breast cancer heterogeneity. This technology helps refine subtypes and discover biomarkers for metastasis and therapy resistance, improving patient outcomes.
Area of Science:
- Oncology
- Molecular Biology
- Biochemistry
Background:
- Breast cancer is a heterogeneous disease with distinct subtypes identified through gene expression profiling.
- These subtypes correlate with clinical outcomes and treatment responses.
- Understanding functional consequences of gene expression requires protein-level analysis.
Purpose of the Study:
- To review the current state of proteomic research in molecular breast cancer classification.
- To discuss the potential of proteomics for discovering novel breast cancer biomarkers.
- To explore how proteomics can refine existing subtypes and identify markers for metastasis and therapy resistance.
Main Methods:
- Review of current literature on proteomic technologies applied to breast cancer.
- Analysis of proteome-wide expression data in clinical samples.
- Identification of proteins and protein profiles for subtype refinement and biomarker discovery.
Main Results:
- Proteomic technologies provide quantitative protein-level insights into breast cancer subtypes.
- Proteomics can identify novel protein biomarkers associated with metastatic potential.
- Proteomics aids in discovering biomarkers for therapy resistance in specific breast cancer subtypes.
Conclusions:
- Proteomics is a valuable tool for advancing molecular classification of breast cancer.
- Proteomic biomarker discovery holds significant promise for clinical applications in breast cancer.
- Further research in proteomics can lead to more personalized treatment strategies for breast cancer patients.
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